






'''simple docstring'''







from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


UpperCamelCase     :   List[str]	      =		{
    'susnato/ernie-m-base_pytorch': 'https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json',
    'susnato/ernie-m-large_pytorch': 'https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json',
}




class 		UpperCamelCase__     (a      ):




		'''simple docstring'''





		_UpperCamelCase						=       'ernie_m'
		_UpperCamelCase						=       {"dropout": "classifier_dropout", "num_classes": "num_labels"}






		def __init__(   self ,_lowerCAmelCase = 25_00_02 ,_lowerCAmelCase = 7_68 ,_lowerCAmelCase = 12 ,_lowerCAmelCase = 12 ,_lowerCAmelCase = 30_72 ,_lowerCAmelCase = "gelu" ,_lowerCAmelCase = 0.1 ,_lowerCAmelCase = 0.1 ,_lowerCAmelCase = 5_14 ,_lowerCAmelCase = 0.02 ,_lowerCAmelCase = 1 ,_lowerCAmelCase = 1E-05 ,_lowerCAmelCase=None ,_lowerCAmelCase=False ,_lowerCAmelCase=0.0 ,**_lowerCAmelCase ,):
								super().__init__(pad_token_id=_lowerCAmelCase ,**_lowerCAmelCase							)
								lowerCamelCase__								=	vocab_size
								lowerCamelCase__								=	hidden_size
								lowerCamelCase__								=	num_hidden_layers
								lowerCamelCase__								=	num_attention_heads
								lowerCamelCase__								=	intermediate_size
								lowerCamelCase__								=	hidden_act
								lowerCamelCase__								=	hidden_dropout_prob
								lowerCamelCase__								=	attention_probs_dropout_prob
								lowerCamelCase__								=	max_position_embeddings
								lowerCamelCase__								=	initializer_range
								lowerCamelCase__								=	layer_norm_eps
								lowerCamelCase__								=	classifier_dropout
								lowerCamelCase__								=	is_decoder
								lowerCamelCase__								=	act_dropout




from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403






def        snake_case__		(    lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_ = "x"     ,				lowerCamelCase_ = 10**-10     ,				lowerCamelCase_ = 1     ,				):
							A      :					int      		=					symbols(lowerCamelCase_		)
							A      :					List[str]      		=					lambdify(lowerCamelCase_     ,				lowerCamelCase_		)
							A      :					Tuple      		=					lambdify(lowerCamelCase_     ,				diff(lowerCamelCase_     ,				lowerCamelCase_		)		)

							A      :					Optional[int]      		=					starting_point

							while True:
														if diff_function(lowerCamelCase_		) != 0:
																					A      :					Union[str, Any]      		=					prev_guess - multiplicity * func(lowerCamelCase_		) / diff_function(
																					    lowerCamelCase_		)
														else:
																					raise ZeroDivisionError('''Could not find root'''		) from None

														# Precision is checked by comparing the difference of consecutive guesses
														if abs(next_guess - prev_guess		) < precision:
																					return next_guess

														A      :					Tuple      		=					next_guess


# Let's Execute
if __name__ == "__main__":
		# Find root of trigonometric function
		# Find value of pi
		print(F"The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}")

		# Find root of polynomial
		# Find fourth Root of 5
		print(F"The root of x**4 - 5 = 0 is {newton_raphson('x**4 -5', 0.4 +5J)}")

		# Find value of e
		print(
		    "The root of log(y) - 1 = 0 is ",
		    F"{newton_raphson('log(y) - 1', 2, variable='y')}",
		)

		# Exponential Roots
		print(
		    "The root of exp(x) - 1 = 0 is",
		    F"{newton_raphson('exp(x) - 1', 10, precision=0.0_05)}",
		)

		# Find root of cos(x)
		print(F"The root of cos(x) = 0 is {newton_raphson('cos(x)', 0)}")






